Computer Graphics Laboratory ETH Zurich

Description

Course Topics

This seminar covers advanced topics in visual computing, including both seminal research papers as well as the latest research results. The main topic areas are image and video processing, capture, rendering, visualization, simulation, fabrication as well as machine learning in graphics.

Course Setup

Every participant has to present one of the papers in the list below. Additionally, you are required to read the paper that is presented in class beforehand and participate in a discussion during the seminar. An assistant will provide support when preparing the slides and in case technical questions arise.

Learning Objectives

The goal is to get an in-depth understanding of actual problems and research topics in the field of visual computing as well as improve presentations and critical analysis skills.

Prerequisites

The "Visual Computing", "Introduction to Computer Graphics" and "Computer Vision I" courses are recommended, but not mandatory.

Administration

Virtual Seminar

The seminar takes place virtually using the video platform Zoom. Detailed information about the online session was sent to you once by e-mail. We will always use the same Zoom room. Note that there will be no physical session in the assigned class room. Presenters can contact us before the meeting to get a technical introduction to the video platform Zoom. There are a few important rules:

• When attending a virtual meeting, log in with your real name.
• Mute your microphone during the presentations.
• Use a head set to avoid feedback loops.

We will monitor virtual attendence. If a student cannot attend a seminar session, the reason (e.g. medical certificate) has to be given before the session and must be accepted by one of the organizers. More than three missed seminar sessions will cause the student to fail this class. The dates for the presentations can not be moved except there is someone willing to switch. The link for the virtual seminar is here: Zoom Virtual Room

Grading

The presentation of the selected paper contributes 75% to the final grade. Additionally, the students are required to submit a short abstract of each paper before the class as well as to participate in the group discussions after the presentations. Both will be documented by the organizers and contributes 25% to the final grade.

Organization and Grading

Number	252-5704-00L
Lecturers	M. Gross, O. Sorkine-Hornung
Assistants	Dr. Vinicius C. Azevedo (vinicius.azevedoinf.ethz.ch), CNB G 102.1
Assistants	Dr. Roberto Azevedo (roberto.azevedo.-nddisneyresearch.com), CNB G 102.1
Assistants	Dr. Juan Montes (juans.montesgmail.com), CNB G 102.1
Location	Virtual Meeting at Zoom Room, Fridays 14:00-16:00

Links

• Powerpoint Template
  

Schedule

Date	Topic	Paper	Student	Supervisor
26-Feb	Introduction
05-Mar	Example Talks
12-Mar	No Session
19-Mar	No Session
26-Mar	No Session
16-Apr	No Session
23-Apr	Animation	Phase-functioned neural networks for character control	Matthias Konig	Dominik Borer
23-Apr	Animation	SMPL: A Skinned Multi-Person Linear Model	Pavel Pozdnyakov	Dominik Borer
30-Apr	Animation	DeepMimic: example-guided deep reinforcement learning of physics-based character skills	Christopher Vogelsanger	Dominik Borer
30-Apr	Simulation	Transport-Based Neural Style Transfer for Smoke Simulations	Florim Memedi	Byungsoo Kim
07-May	Capture	Single-Shot High-Quality Facial Geometry and Skin Appearance Capture	Kate Gadola	Paulo Gotardo
07-May	Capture	Accurate Markerless Jaw Tracking for Facial Performance Capture	Peter Haas	Gaspard Zoos
14-May	Rendering	Reparameterizing Discontinuous Integrands for Differentiable Rendering	Pascal Chang	Prashant Chandran
14-May	Rendering	Denoising Deep Monte Carlo Renderings	Valentin Weiss	Irene Baeza Rojo

Further Papers